Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Open Online Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors’ acclaimed Bioinformatics Specialization on Coursera, this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of both biology and computer science.

Each chapter begins with a biological question, such as “Are There Fragile Regions in the Human Genome?” or “Which DNA Patterns Play the Role of Molecular Clocks?” and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on the Rosalind Bioinformatics Textbook Track.

Volume 2 expands upon the biological and computational ideas covered in Volume 1. It discusses the following central questions:

* Which Animal Gave Us SARS? (Evolutionary tree reconstruction)* How Did Yeast Become a Wine Brewer? (Clustering algorithms)* How Do We Find Disease-Causing Mutations? (Combinatorial pattern matching)* Why Have Biologists Still Not Developed an HIV Vaccine? (Hidden Markov models)* Was T. rex Just a Big Chicken? (Computational proteomics)

Special two-volume offer: buy the first edition and receive the second edition for 50% off! Use promo code BUNDLE at checkout after adding both volumes to your cart. Offer only valid through this website.